Method, device and apparatus for determining road surface temperature based on grid point surface temperature decomposition

Abstract

The present application discloses a method, device and equipment for determining road surface temperature based on grid surface temperature decomposition. According to the number of types of feature components in the target grid unit, the target grid unit is divided into multiple sub-grid units; the surface temperature data of each grid point in the target grid unit and the underlying surface type data of the high-resolution satellite are obtained; according to the surface temperature data of each grid point, the grid average temperature of the target grid unit and the grid average temperature of each sub-grid unit are determined; according to the underlying surface type data of the high-resolution satellite, the area ratio data of each type of feature components in the target grid unit and each sub-grid unit are determined; wherein the various types of feature components include roads; using a preset algorithm, according to the grid average temperature and the area ratio data of the target grid unit and each sub-grid unit, the road surface temperature in the target grid unit is determined.

Description

Technical Field

[0001] The present application relates to the field of meteorological technology, and in particular, to a method for determining road surface temperature based on grid point surface temperature decomposition, a device for determining road surface temperature based on grid point surface temperature decomposition, an electronic device and a computer-readable medium. Background Art

[0002] Roads are an important part of the modern transportation system. Their construction and operation play an important role in promoting economic and social development. In the field of meteorology, by accurately monitoring the road surface temperature and timely warning of dangerous conditions such as high temperature and icing, drivers can be guided to take corresponding actions to avoid traffic accidents. At the same time, these data can also be used as a reference for road maintenance management, which helps to extend the service life of roads and reduce road maintenance costs.

[0003] However, the related art lacks a meteorological data processing method that can accurately determine the road surface temperature. Summary of the invention

[0004] The present application aims to solve one of the technical problems in the related art to a certain extent. To this end, the present application provides a method for determining road surface temperature based on grid point surface temperature decomposition, a device for determining road surface temperature based on grid point surface temperature decomposition, an electronic device and a computer readable medium.

[0005] As a first aspect of the present application, a method for determining road surface temperature based on grid point surface temperature decomposition is provided, wherein the method comprises:

[0006] Dividing the target grid unit into a plurality of sub-grid units according to the number and type of the object components in the target grid unit;

[0007] Obtain the surface temperature data of each grid point in the target grid unit and the underlying surface type data of the high-resolution satellite;

[0008] Determining the average grid point temperature of the target grid unit and the average grid point temperature of each sub-grid unit according to the surface temperature data of each grid point;

[0009] Determine the area ratio data of each type of ground feature components in the target grid unit and each of the sub-grid units according to the high-resolution satellite underlying surface type data; wherein the each type of ground feature components includes roads;

[0010] The road surface temperature in the target grid cell is determined by using a preset algorithm according to the target grid cell, the average grid point temperature of each of the sub-grid cells, and the area ratio data.

[0011] Optionally, determining the area ratio data of each type of ground feature component in the target grid unit according to the high-resolution satellite underlying surface type data includes:

[0012] Determine first ratio data between the area of ​​each type of ground feature component in the target grid unit and the total area of ​​the target grid unit according to the high-resolution satellite underlying surface type data;

[0013] For any of the sub-grid units, second ratio data between the area of ​​each type of ground feature component in the sub-grid unit and the total area of ​​the sub-grid unit are determined based on the high-resolution satellite underlying surface type data; wherein the area ratio data includes the first ratio data and each of the second ratio data.

[0014] Optionally, the using of a preset algorithm to determine the road surface temperature in the target grid cell according to the target grid cell, the average grid point temperature of each sub-grid cell, and the area ratio data includes:

[0015] Establishing a basic linear equation according to the average grid point temperature of the target grid cell and the first proportional data;

[0016] For any of the sub-grid units, establishing an auxiliary linear equation according to the average grid point temperature of the sub-grid unit and the second proportional data in the sub-grid unit;

[0017] The road surface temperature in the target grid cell is determined by using a preset algorithm according to the basic linear equation and each of the auxiliary linear equations.

[0018] Optionally, the basic linear equation is expressed by the following formula:

[0019] T=A1*T1+A2*T2+A3*T3+……+An*Tn;

[0020] Among them, T represents the average grid temperature of the target grid unit, A1, A2, A3...An respectively represent the first proportion data of the 1st, 2nd, 3rd...nth types of ground feature components in the target grid unit in sequence, and T1, T2, T3...Tn respectively represent the surface temperatures of the 1st, 2nd, 3rd...nth types of ground feature components in sequence.

[0021] Optionally, the auxiliary linear equation is expressed by the following formula:

[0022] =a1*t1+a2*t2+a3*t3+……+an*tn;

[0023] in, It represents the average grid temperature of the mth sub-grid unit, a1, a2, a3...an represent the second proportion data of the 1st, 2nd, 3rd...nth types of land feature components in the mth sub-grid unit respectively, and t1, t2, t3...tn represent the surface temperatures of the 1st, 2nd, 3rd...nth types of land feature components respectively.

[0024] Optionally, the using of a preset algorithm to determine the road surface temperature in the target grid cell according to the target grid cell, the average grid point temperature of each sub-grid cell, and the area ratio data includes:

[0025] Using a preset algorithm, the surface temperature of each type of ground feature component in the target grid unit is determined based on the target grid unit, the average grid point temperature of each sub-grid unit and the area ratio data; wherein the surface temperature of each type of ground feature component includes the road surface temperature.

[0026] Optionally, the preset algorithm includes Gaussian elimination method.

[0027] As a second aspect of the present application, a device for determining road surface temperature based on grid point surface temperature decomposition is provided, wherein the device comprises:

[0028] A division module, used for dividing the target grid unit into a plurality of sub-grid units according to the number of types of feature components in the target grid unit;

[0029] The acquisition module is used to obtain the surface temperature data of each grid point in the target grid unit and the underlying surface type data of the high-resolution satellite;

[0030] A first temperature processing module, used for determining the average grid point temperature of the target grid unit and the average grid point temperature of each sub-grid unit according to the surface temperature data of each grid point;

[0031] A proportion processing module, used to determine the area proportion data of each type of ground object components in the target grid unit and each of the sub-grid units according to the high-resolution satellite underlying surface type data; wherein the various types of ground object components include roads;

[0032] The second temperature processing module is used to determine the road surface temperature in the target grid unit according to the target grid unit, the average grid point temperature of each sub-grid unit and the area ratio data by using a preset algorithm.

[0033] As a third aspect of the present application, an electronic device is provided, wherein the electronic device includes:

[0034] one or more processors;

[0035] A memory having one or more computer programs stored thereon, wherein when the one or more computer programs are executed by the one or more processors, the one or more processors implement the method for determining the road surface temperature based on grid surface temperature decomposition according to the first aspect of the present application.

[0036] As a fourth aspect of the present application, a computer-readable medium is provided, on which a computer program is stored, wherein when the computer program is executed by a processor, the method for determining the road surface temperature based on grid surface temperature decomposition according to the first aspect of the present application is implemented.

[0037] In the method for determining road surface temperature based on grid surface temperature decomposition provided in an embodiment of the present application, surface temperature data of each grid point in a target grid unit is obtained, and the grid average temperature of the target grid unit is determined, thereby providing accurate and effective reference data for determining road surface temperature. By dividing the target grid unit into multiple sub-grid units according to the number of types of object components in the target grid unit, the grid average temperature of the target grid unit and each of the sub-grid units is determined according to the surface temperature data, and the area proportion data of each type of object component in the target grid unit and each of the sub-grid units is determined according to the high-resolution satellite underlying surface type data, thereby achieving data enhancement and providing more accurate and effective reference data for determining road surface temperature. Taking into account that roads exist as a type of land feature component in a grid unit, based on the characteristic that the surface temperature of each type of land feature component within a limited range can be regarded as a constant value, a preset algorithm is used to determine the road surface temperature in the target grid unit according to the target grid unit, the average grid point temperature of each sub-grid unit and the area ratio data, which can provide strong data support for road operation, road maintenance, etc., and improve the safety and stability of road traffic operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The present application is further described below in conjunction with the accompanying drawings:

[0039] Figure 1 It is a flow chart of an implementation method of the method for determining the road surface temperature based on the grid point surface temperature decomposition provided in the embodiment of the present application;

[0040] Figure 2 is a schematic diagram of the distribution of different types of ground feature components provided in an embodiment of the present application;

[0041] Figure 3 This is a flow chart of an implementation method of determining area ratio data provided in an embodiment of the present application;

[0042] Figure 4It is a flow chart of an implementation method of determining the road surface temperature within the target grid unit provided in an embodiment of the present application;

[0043] Figure 5 It is a module diagram of an implementation of a device for determining road surface temperature based on grid point surface temperature decomposition provided in an embodiment of the present application;

[0044] Figure 6 It is a module diagram of an implementation of an electronic device provided in an embodiment of the present application;

[0045] Figure 7 It is a schematic diagram of a computer-readable medium provided in an embodiment of the present application.

[0046] Description of Reference Numerals

[0047] 101: Processor 102: Memory

[0048] 103: I / O interface 104: bus DETAILED DESCRIPTION

[0049] The embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements with the same or similar functions. The embodiments based on the embodiments are intended to be used to explain the present application and cannot be understood as limiting the present application.

[0050] References to "one embodiment" or "an example" or "an example" in this specification mean that a particular feature, structure, or characteristic described in conjunction with the embodiment itself may be included in at least one embodiment disclosed in the present application. The appearance of the phrase "in one embodiment" in various places in the specification does not necessarily refer to the same embodiment.

[0051] In the field of meteorology, in order to obtain meteorological element data such as precipitation, light radiation, and temperature, the relevant technology often establishes meteorological observation stations, which periodically collect a large amount of original observation data, and uses spatial interpolation algorithms and other methods to process the discretely distributed original data to obtain grid data of continuously distributed elements such as precipitation, light radiation, and temperature. However, this method can only obtain conventional meteorological element grid data, and there is currently no continuously distributed road surface temperature data on the traffic road network. There is no other meteorological data processing method in the relevant technology that can accurately determine the continuously distributed road surface temperature on the road network.

[0052] In view of this, the applicant of this application proposes that roads exist as a type of land feature component in a grid unit, and the surface temperature of each type of land feature component within a limited range can be regarded as a constant value. The road surface temperature in the grid unit can be determined based on the surface temperature of each grid point in the grid unit and the area ratio of each type of land feature component. The area ratio of each type of land feature component can be specifically determined by obtaining high-resolution satellite underlying surface type data.

[0053] As a first aspect of an embodiment of the present application, a method for determining road surface temperature based on grid point surface temperature decomposition is provided, wherein: Figure 1 As shown, the method may include the following steps:

[0054] In step S110, the target grid unit is divided into a plurality of sub-grid units according to the number of types of object components in the target grid unit;

[0055] In step S120, the surface temperature data of each grid point in the target grid unit and the underlying surface type data of the high-resolution satellite are obtained;

[0056] In step S130, the average grid temperature of the target grid unit and the average grid temperature of each sub-grid unit are determined according to the surface temperature data of each grid point;

[0057] In step S140, according to the underlying surface type data of the high-resolution satellite, the area ratio data of each type of ground feature components in the target grid unit and each of the sub-grid units are determined; wherein the each type of ground feature components includes roads;

[0058] In step S150, a preset algorithm is used to determine the road surface temperature in the target grid cell according to the target grid cell, the average grid point temperature of each sub-grid cell, and the area ratio data.

[0059] The geographic grid is a unified and simple geographic space division and positioning reference system. According to unified rules, the ground area is continuously divided according to certain longitude and latitude or ground distance, and the spatial uncertainty is controlled within a certain range to form regular polygons, each of which is called a grid unit. In the embodiment of the present application, the surface temperature data and the high-resolution satellite underlying surface type data are both grid data.

[0060] Land features refer to fixed objects formed naturally or artificially on the surface of the earth, and generally refer to relatively fixed objects on the surface of the earth. Figure 2As shown in FIG. 1 , a distribution diagram of different types of land features provided in an embodiment of the present application is shown. It can be seen that the area described in the figure includes five types of land features: forest, grassland, asphalt road, farmland, and bare land. Of course, Figure 2 This is only an example. In addition, there may be other types of land features such as water bodies.

[0061] In the embodiment of the present application, there is no special limitation on how to perform step S110. For example, when the number of types of feature components in the target grid unit is large (for example, when it exceeds a certain number threshold), the number of sub-grid units can also be divided into a large number. In the embodiment of the present application, there is no special limitation on how many sub-grid units are divided. For example, it can be divided into 2 by 2, 3 by 3, etc. sub-grid units.

[0062] It can be understood that the "target grid unit, the grid average temperature of each sub-grid unit and the area ratio data" involved in step S150 and below include: the grid average temperature of the target grid unit, the grid average temperature of the sub-grid unit, the area ratio data of the target grid unit and the area ratio data of the sub-grid unit.

[0063] In the method for determining road surface temperature based on grid surface temperature decomposition provided in an embodiment of the present application, surface temperature data of each grid point in a target grid unit is obtained, and the grid average temperature of the target grid unit is determined, thereby providing accurate and effective reference data for determining road surface temperature. By dividing the target grid unit into multiple sub-grid units according to the number of types of object components in the target grid unit, the grid average temperature of the target grid unit and each of the sub-grid units is determined according to the surface temperature data, and the area proportion data of each type of object component in the target grid unit and each of the sub-grid units is determined according to the high-resolution satellite underlying surface type data, thereby achieving data enhancement and providing more accurate and effective reference data for determining road surface temperature. Taking into account that roads exist as a type of land feature component in a grid unit, based on the characteristic that the surface temperature of each type of land feature component within a limited range can be regarded as a constant value, a preset algorithm is used to determine the road surface temperature in the target grid unit according to the target grid unit, the average grid point temperature of each sub-grid unit and the area ratio data, which can provide strong data support for road operation, road maintenance, etc., and improve the safety and stability of road traffic operation.

[0064] In the embodiment of the present application, firstly, the proportion of the area of ​​each type of ground object component in the target grid unit to the total area of ​​the target grid unit is determined based on the high-resolution satellite underlying surface type data. Furthermore, in order to achieve data enhancement and obtain a larger amount of reference data, the proportion of the area of ​​each type of ground object component in the sub-grid unit to the total area of ​​the sub-grid unit is determined based on the high-resolution satellite underlying surface type data. Accordingly, in some embodiments, the area proportion data of each type of ground object component in the target grid unit is determined based on the high-resolution satellite underlying surface type data (i.e., step S140 is involved), such as Figure 3 As shown, the following steps may be included:

[0065] In step S141, first ratio data between the area of ​​each type of ground feature component in the target grid unit and the total area of ​​the target grid unit is determined according to the high-resolution satellite underlying surface type data;

[0066] In step S142, for any of the sub-grid units, second ratio data between the area of ​​each type of ground feature component in the sub-grid unit and the total area of ​​the sub-grid unit is determined based on the high-resolution satellite underlying surface type data; wherein the area ratio data includes the first ratio data and each of the second ratio data.

[0067] It can be understood that, within the target grid unit, each type of land feature component has corresponding first proportion data, and the number of first proportion data is determined by the number of types of land feature components in the target grid unit; within the sub-grid unit, each type of land feature component has corresponding second proportion data, and the number of second proportions is determined by the number of divisions of the sub-grid unit and the number of types of land feature components in the sub-grid unit.

[0068] Refer to Table 1 below for an exemplary explanation. As shown in Table 1 below, based on the underlying surface type data of the high-resolution satellite, the area proportions of various types of ground object components in the sub-grid units 69-1, 69-2, 69-3, 69-4, 69-5, 69-6, 69-7, 69-8, and 69-9 of the target grid unit 69 are determined. The types of ground object components shown in Table 1 include cultivated land, forest land, shrubs, grasslands, wetlands, water bodies, impermeable layers, and bare soil. "55.961" means that the area of ​​the ground object component of the type of cultivated land in the sub-grid unit 69-1 accounts for 55.961% of the total area of ​​the sub-grid unit 69-1, and "78.741" means that the area of ​​the ground object component of the type of cultivated land in the sub-grid unit 69-2 accounts for 78.741% of the total area of ​​the sub-grid unit 69-2, and the meanings of each data are similar.

[0069] Table 1

[0070]

[0071] It should be noted that the above Table 1 is only an exemplary description of the second proportion data, and the second proportion data should be determined by the actual situation of the target grid unit.

[0072] The applicant of the present application proposes that the surface temperature of each type of ground feature component can be regarded as a constant value within a limited range, and the area ratio data of each type of ground feature component in the target grid unit and the area ratio data of each type of ground feature component in each sub-grid unit can be determined. By establishing a multivariate linear equation system, the surface temperature of each type of ground feature component can be solved. Accordingly, in some embodiments, the preset algorithm is used to determine the road surface temperature in the target grid unit (i.e., the road surface temperature involved in step S150) according to the average grid point temperature of the target grid unit, each sub-grid unit, and the area ratio data, such as Figure 4 As shown, the following steps may be included:

[0073] In step S151, a basic linear equation is established according to the average grid point temperature of the target grid cell and the first proportional data;

[0074] In step S152, for any of the sub-grid units, an auxiliary linear equation is established according to the average grid point temperature of the sub-grid unit and the second proportion data in the sub-grid unit;

[0075] In step S153, a preset algorithm is used to determine the road surface temperature in the target grid cell according to the basic linear equation and each of the auxiliary linear equations.

[0076] It can be understood that the number of auxiliary linear equations is consistent with the number of sub-grid unit divisions.

[0077] In some embodiments, the basic linear equation is expressed by the following formula:

[0078] T=A1*T1+A2*T2+A3*T3+……+An*Tn; (1)

[0079] In formula (1), T represents the average grid point temperature of the target grid unit, A1, A2, A3, ... An represent the first proportion data of the first, second, third, ... nth types of ground feature components in the target grid unit, respectively, and T1, T2, T3, ... Tn represent the surface temperatures of the first, second, third, ... nth types of ground feature components, respectively.

[0080] In some embodiments, the auxiliary linear equation can be expressed by the following formula:

[0081] =a1*t1+a2*t2+a3*t3+……+an*tn; (2)

[0082] In formula (2), It represents the average grid temperature of the mth sub-grid unit, a1, a2, a3...an represent the second proportion data of the 1st, 2nd, 3rd...nth types of land feature components in the mth sub-grid unit respectively, and t1, t2, t3...tn represent the surface temperatures of the 1st, 2nd, 3rd...nth types of land feature components respectively.

[0083] It can be seen that formula (1) and formula (2) of each sub-grid unit constitute a multivariate linear equation group. Since the grid point average temperature of the target grid unit and each sub-grid unit as well as the first proportion data and the second proportion data are all determined, the surface temperature of the land feature component of the road type, i.e., the road surface temperature, can be determined by solving the multivariate linear equation group.

[0084] Moreover, in the embodiment of the present application, not only the surface temperature of the ground feature component of the road type, i.e., the road surface temperature, can be determined, but also the surface temperature of each type of ground feature component can be directly determined. Accordingly, in some embodiments, the use of a preset algorithm to determine the road surface temperature in the target grid unit (i.e., involved in step S150) according to the target grid unit, the average grid point temperature of each sub-grid unit, and the area ratio data may include the following steps: using a preset algorithm to determine the surface temperature of each type of ground feature component in the target grid unit according to the average grid point temperature of the target grid unit, each sub-grid unit, and the area ratio data; wherein the surface temperature of each type of ground feature component includes the road surface temperature.

[0085] The applicant of the present application proposes that a relatively simple way to solve a multivariate linear equation system is to use Gaussian elimination method. Accordingly, in some embodiments, the preset algorithm includes Gaussian elimination method.

[0086] It should be noted that the embodiments of the present application are not limited to this, and any other method that can solve a multivariate linear equation system is acceptable.

[0087] As a second aspect of an embodiment of the present application, a device for determining road surface temperature based on grid point surface temperature decomposition is provided, wherein: Figure 5 As shown, the device may include:

[0088] A division module 201 is used to divide the target grid unit into a plurality of sub-grid units according to the number of types of feature components in the target grid unit;

[0089] Acquisition module 202, used to acquire surface temperature data of each grid point in the target grid unit and underlying surface type data of the high-resolution satellite;

[0090] A first temperature processing module 203 is used to determine the average grid point temperature of the target grid unit and the average grid point temperature of each of the sub-grid units according to the surface temperature data of each grid point;

[0091] The ratio processing module 204 is used to determine the area ratio data of each type of ground object components in the target grid unit and each of the sub-grid units according to the high-resolution satellite underlying surface type data; wherein the each type of ground object components includes roads;

[0092] The second temperature processing module 205 is used to determine the road surface temperature in the target grid unit according to the target grid unit, the average grid point temperature of each sub-grid unit and the area ratio data by using a preset algorithm.

[0093] In some embodiments, the ratio processing module 204 is used to:

[0094] Determine first ratio data between the area of ​​each type of ground feature component in the target grid unit and the total area of ​​the target grid unit according to the high-resolution satellite underlying surface type data;

[0095] For any of the sub-grid units, second ratio data between the area of ​​each type of ground feature component in the sub-grid unit and the total area of ​​the sub-grid unit are determined based on the high-resolution satellite underlying surface type data; wherein the area ratio data includes the first ratio data and each of the second ratio data.

[0096] In some embodiments, the second temperature processing module 205 is used to:

[0097] Establishing a basic linear equation according to the average grid point temperature of the target grid cell and the first proportional data;

[0098] For any of the sub-grid units, establishing an auxiliary linear equation according to the average grid point temperature of the sub-grid unit and the second proportional data in the sub-grid unit;

[0099] The road surface temperature in the target grid cell is determined by using a preset algorithm according to the basic linear equation and each of the auxiliary linear equations.

[0100] In some embodiments, the basic linear equation is expressed by the following formula:

[0101] T=A1*T1+A2*T2+A3*T3+……+An*Tn;

[0102] Among them, T represents the average grid temperature of the target grid unit, A1, A2, A3...An respectively represent the first proportion data of the 1st, 2nd, 3rd...nth types of ground feature components in the target grid unit in sequence, and T1, T2, T3...Tn respectively represent the surface temperatures of the 1st, 2nd, 3rd...nth types of ground feature components in sequence.

[0103] In some embodiments, the auxiliary linear equation is expressed by the following formula:

[0104] =a1*t1+a2*t2+a3*t3+……+an*tn;

[0105] in, It represents the average grid temperature of the mth sub-grid unit, a1, a2, a3...an represent the second proportion data of the 1st, 2nd, 3rd...nth types of land feature components in the mth sub-grid unit respectively, and t1, t2, t3...tn represent the surface temperatures of the 1st, 2nd, 3rd...nth types of land feature components respectively.

[0106] In some embodiments, the second temperature processing module 205 is used to:

[0107] Using a preset algorithm, the surface temperature of each type of ground feature component in the target grid unit is determined based on the target grid unit, the average grid point temperature of each sub-grid unit and the area ratio data; wherein the surface temperature of each type of ground feature component includes the road surface temperature.

[0108] In some embodiments, the preset algorithm includes Gaussian elimination.

[0109] As a third aspect of the embodiments of the present application, an electronic device is provided, wherein: Figure 6 As shown, the electronic device includes:

[0110] One or more processors 101;

[0111] The memory 102 stores one or more computer programs. When the one or more computer programs are executed by the one or more processors 101, the one or more processors 101 implement the method for determining the road surface temperature based on grid surface temperature decomposition provided in the first aspect of the embodiment of the present application.

[0112] The electronic device may further include one or more I / O interfaces 103 connected between the processor 101 and the memory 102 and configured to implement information interaction between the processor 101 and the memory 102 .

[0113] Among them, the processor 101 is a device with data processing capabilities, including but not limited to a central processing unit (CPU), etc.; the memory 102 is a device with data storage capabilities, including but not limited to random access memory (RAM, more specifically SDRAM, DDR, etc.), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory (FLASH); the I / O interface (read-write interface) is connected between the processor and the memory, and can realize information exchange between the processor and the memory, including but not limited to a data bus (Bus), etc.

[0114] In some embodiments, the processor 101 , the memory 102 , and the I / O interface 103 are connected to each other via a bus 104 , and further connected to other components of the computing device.

[0115] As a fourth aspect of the embodiment of the present application, Figure 7 As shown, a computer-readable medium is provided, on which a computer program is stored, wherein the computer program, when executed by a processor, implements the method for determining the road surface temperature based on grid surface temperature decomposition provided in the first aspect of the embodiment of the present application.

[0116] It will be understood by those skilled in the art that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. Accordingly, the computer program can be stored in a non-volatile computer-readable storage medium, and the computer program can implement the method of any of the above-mentioned embodiments when executed. Among them, any reference to memory, storage, database or other media used in the embodiments provided in the embodiments of the present application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0117] The above are only specific embodiments of the present application, but the protection scope of the present application is not limited thereto. Those skilled in the art should understand that the present application includes but is not limited to the contents described in the drawings and the above specific embodiments. Any modification that does not deviate from the functional and structural principles of the present application will be included in the scope of the claims.

Claims

1. A method for determining road surface temperature based on grid point surface temperature decomposition, characterized in that: The method comprises: According to the number of types of object components in the target grid unit, the target grid unit is divided into a plurality of sub-grid units, and the number of sub-grid units in the target grid unit is positively correlated with the number of types of object components in the target grid unit; Obtain the surface temperature data of each grid point in the target grid unit and the underlying surface type data of the high-resolution satellite; Determining the average grid point temperature of the target grid unit and the average grid point temperature of each sub-grid unit according to the surface temperature data of each grid point; Determine the area ratio data of each type of ground feature component in the target grid unit and each of the sub-grid units according to the high-resolution satellite underlying surface type data; wherein the each type of ground feature component includes roads; By using a preset algorithm, the road surface temperature in the target grid cell is determined according to the target grid cell, the average grid point temperature of each sub-grid cell, and the area ratio data. Determining the area ratio data of each type of ground feature components in the target grid unit and each of the sub-grid units according to the high-resolution satellite underlying surface type data includes: Determine first ratio data between the area of ​​each type of ground feature component in the target grid unit and the total area of ​​the target grid unit according to the high-resolution satellite underlying surface type data; For any of the sub-grid units, second ratio data between the area of ​​each type of ground feature component in the sub-grid unit and the total area of ​​the sub-grid unit is determined according to the high-resolution satellite underlying surface type data; wherein the area ratio data includes the first ratio data and each of the second ratio data, The method of using a preset algorithm to determine the road surface temperature in the target grid cell according to the target grid cell, the average grid point temperature of each sub-grid cell, and the area ratio data includes: Establishing a basic linear equation according to the average grid point temperature of the target grid cell and the first proportional data; For any of the sub-grid units, establishing an auxiliary linear equation according to the average grid point temperature of the sub-grid unit and the second proportional data in the sub-grid unit; The road surface temperature in the target grid cell is determined by using a preset algorithm according to the basic linear equation and each of the auxiliary linear equations.

2. The method according to claim 1, characterized in that: The basic linear equation is expressed by the following formula: T=A1*T1+A2*T2+A3*T3+……+An*Tn; Among them, T represents the average grid temperature of the target grid unit, A1, A2, A3...An respectively represent the first proportion data of the 1st, 2nd, 3rd...nth types of ground feature components in the target grid unit in sequence, and T1, T2, T3...Tn respectively represent the surface temperatures of the 1st, 2nd, 3rd...nth types of ground feature components in sequence.

3. The method according to claim 1, characterized in that The auxiliary linear equation is expressed by the following formula: <h2 style=";text-align:left;direction:ltr"> <h2 style=";text-align:left;direction:ltr"> =a1*t1+a2*t2+a3*t3+……+an*tn; in, It represents the average grid temperature of the mth sub-grid unit, a1, a2, a3...an represent the second proportion data of the 1st, 2nd, 3rd...nth types of land feature components in the mth sub-grid unit respectively, and t1, t2, t3...tn represent the surface temperatures of the 1st, 2nd, 3rd...nth types of land feature components respectively.

4. The method according to any one of claims 1 to 3, characterized in that The method of using a preset algorithm to determine the road surface temperature in the target grid cell according to the target grid cell, the average grid point temperature of each sub-grid cell, and the area ratio data includes: Using a preset algorithm, the surface temperature of each type of ground feature component in the target grid unit is determined based on the target grid unit, the average grid point temperature of each sub-grid unit and the area ratio data; wherein the surface temperature of each type of ground feature component includes the road surface temperature.

5. The method according to any one of claims 1 to 3, characterized in that: The preset algorithm includes Gaussian elimination method.

6. A device for determining road surface temperature based on grid point surface temperature decomposition, characterized in that: The device comprises: A division module, for dividing the target grid unit into a plurality of sub-grid units according to the number of types of object components in the target grid unit, wherein the number of sub-grid units in the target grid unit is positively correlated with the number of types of object components in the target grid unit; The acquisition module is used to obtain the surface temperature data of each grid point in the target grid unit and the underlying surface type data of the high-resolution satellite; A first temperature processing module, used for determining the average grid point temperature of the target grid unit and the average grid point temperature of each sub-grid unit according to the surface temperature data of each grid point; A proportion processing module, used to determine the area proportion data of each type of ground feature components in the target grid unit and each of the sub-grid units according to the high-resolution satellite underlying surface type data; wherein the various types of ground feature components include roads; A second temperature processing module, for determining the road surface temperature in the target grid cell according to the target grid cell, the average grid point temperature of each of the sub-grid cells and the area ratio data by using a preset algorithm; The proportion processing module determines the area proportion data of each type of ground feature components in the target grid unit and each sub-grid unit according to the underlying surface type data of the high-resolution satellite, including: Determine, according to the high-resolution satellite underlying surface type data, first ratio data between the area of ​​each type of ground object component in the target grid unit and the total area of ​​the target grid unit; and, for any of the sub-grid units, determine, according to the high-resolution satellite underlying surface type data, second ratio data between the area of ​​each type of ground object component in the sub-grid unit and the total area of ​​the sub-grid unit; wherein the area ratio data includes the first ratio data and each of the second ratio data; The second temperature processing module uses a preset algorithm to determine the road surface temperature in the target grid unit according to the target grid unit, the average grid point temperature of each sub-grid unit and the area ratio data, including: Establishing a basic linear equation according to the average grid point temperature of the target grid cell and the first proportional data; For any of the sub-grid units, establishing an auxiliary linear equation according to the average grid point temperature of the sub-grid unit and the second proportional data in the sub-grid unit; The road surface temperature in the target grid cell is determined by using a preset algorithm according to the basic linear equation and each of the auxiliary linear equations.

7. An electronic device, characterized in that: The electronic device comprises: one or more processors; A memory having one or more computer programs stored thereon, wherein when the one or more computer programs are executed by the one or more processors, the one or more processors implement the method for determining road surface temperature based on grid surface temperature decomposition according to any one of claims 1-5.

8. A computer readable medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for determining road surface temperature based on grid point surface temperature decomposition according to any one of claims 1 to 5 is implemented.

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